Sara Picó

526 total citations
11 papers, 259 citations indexed

About

Sara Picó is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Sara Picó has authored 11 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Clinical Biochemistry. Recurrent topics in Sara Picó's work include RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sara Picó is often cited by papers focused on RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sara Picó collaborates with scholars based in Spain, Switzerland and United States. Sara Picó's co-authors include Myriam Calonje, José J. Lucas, María Santos‐Galindo, Ainara Elorza, Ivó H. Hernández, Alberto Parras, Juan Ignacio Díaz‐Hernandéz, Manuel Irimia, Raúl Méndez and Eulàlia Belloc and has published in prestigious journals such as Nature, Brain and PLANT PHYSIOLOGY.

In The Last Decade

Sara Picó

9 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sara Picó Spain	7	205	54	34	30	19	11	259
Sergio Espeso‐Gil United States	10	238 1.2×	97 1.8×	127 3.7×	40 1.3×	18 0.9×	14	374
Marat Sabirov Russia	8	180 0.9×	41 0.8×	28 0.8×	17 0.6×	8 0.4×	12	223
Tina Lai United States	6	185 0.9×	31 0.6×	54 1.6×	103 3.4×	21 1.1×	6	332
Cortnie Hartwig United States	8	106 0.5×	16 0.3×	35 1.0×	54 1.8×	16 0.8×	9	228
Sofia Madsen Sweden	7	213 1.0×	77 1.4×	35 1.0×	50 1.7×	6 0.3×	7	301
Abigail L. Pfaff Australia	11	178 0.9×	69 1.3×	57 1.7×	30 1.0×	11 0.6×	33	276
Seth M. Kelly United States	11	425 2.1×	18 0.3×	92 2.7×	34 1.1×	39 2.1×	14	475
Lauren Chessum United Kingdom	7	163 0.8×	11 0.2×	51 1.5×	23 0.8×	24 1.3×	8	265
Laura Lande‐Diner Israel	7	262 1.3×	39 0.7×	59 1.7×	17 0.6×	9 0.5×	8	363
María T. Lopez-Cascales Spain	6	198 1.0×	10 0.2×	77 2.3×	50 1.7×	21 1.1×	8	272

Countries citing papers authored by Sara Picó

Since Specialization

Citations

This map shows the geographic impact of Sara Picó's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sara Picó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Picó more than expected).

Fields of papers citing papers by Sara Picó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Picó. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sara Picó. The network helps show where Sara Picó may publish in the future.

Co-authorship network of co-authors of Sara Picó

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Picó. A scholar is included among the top collaborators of Sara Picó based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Picó. Sara Picó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Paine, Patrick, et al.. (2025). Chemical reprogramming ameliorates cellular hallmarks of aging and extends lifespan. EMBO Molecular Medicine. 17(8). 2071–2094. 4 indexed citations

Picó, Sara, Alberto Parras, Gabriela Desdín-Micó, et al.. (2025). Comparative analysis of mouse strains for in vivo induction of reprogramming factors. Cell Reports. 44(7). 115879–115879.

Garcia‐Cabau, Carla, Giulio Tesei, Sara Picó, et al.. (2025). BPS2025 - Kinetic stabilization of translation-repression condensates by a neuron-specific microexon. Biophysical Journal. 124(3). 564a–564a.

Picó, Sara, Arístides López‐Márquez, Mar Álvarez, et al.. (2024). PAH deficient pathology in humanized c.1066-11G>A phenylketonuria mice. Human Molecular Genetics. 33(12). 1074–1089. 1 indexed citations

Garcia‐Cabau, Carla, Giulio Tesei, Sara Picó, et al.. (2024). Mis-splicing of a neuronal microexon promotes CPEB4 aggregation in ASD. Nature. 637(8045). 496–503. 16 indexed citations

Parras, Alberto, Gabriela Desdín-Micó, Sara Picó, et al.. (2023). In vivo reprogramming leads to premature death linked to hepatic and intestinal failure. Nature Aging. 3(12). 1509–1520. 24 indexed citations

Pérez, Kevin, Alberto Parras, Sara Picó, et al.. (2023). DNA repair‐deficient premature aging models display accelerated epigenetic age. Aging Cell. 23(2). e14058–e14058. 16 indexed citations

Pardiñas, Antonio F., Alberto Parras, Ivó H. Hernández, et al.. (2023). Pathogenic Mis-splicing of CPEB4 in Schizophrenia. Biological Psychiatry. 94(4). 341–351. 10 indexed citations

Elorza, Ainara, Yamile Márquez, Jorge Rubén Cabrera, et al.. (2021). Huntington’s disease-specific mis-splicing unveils key effector genes and altered splicing factors. Brain. 144(7). 2009–2023. 32 indexed citations

10.

Parras, Alberto, María Santos‐Galindo, Vivek Swarup, et al.. (2018). Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing. Nature. 560(7719). 441–446. 104 indexed citations

11.

Picó, Sara, et al.. (2015). Deciphering the Role of POLYCOMB REPRESSIVE COMPLEX1 Variants in Regulating the Acquisition of Flowering Competence in Arabidopsis. PLANT PHYSIOLOGY. 168(4). 1286–1297. 52 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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